IFML's signature Seminar Series: Spring 2026 Recap
This spring 2026, IFML hosted its Semester Seminar Series given by speakers from four academic institutions, including two from Yale, and one research labora
News
New IFML Framework for Diffusion Models to be included in several production pipelines by teams in Google
Algorithms for solving inverse problems give breakthrough performance on visual stylization, personalization, and image restoration.
IFML Diffusion Seminar Series: Tutorial on the Mathematical Foundations of Diffusion Models for Image Generation
Sanjay Shakkottai, Professor and Cockrell Family Chair in Engineering # 15 in the Department of Electrical and Computer Engineering. UT Austin; Director, Center for Generative AI
Turbocharging Protein Engineering with AI
Biotech advances from UT’s new Deep Proteins group are changing the game with help from artificial intelligence.
Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension earns Best Paper Award at COLT 2024!
Authored by IFML Director Adam Klivans, students Gautam Chandrasekaran, Konstantinos Stavropoulos, IFML postdoc Vasilis Kontonis, and former UT CS PhD Raghu Meka
Now, Later, and Lasting: 10 Priorities for AI Research, Policy, and Practice
Shaping the future of artificial intelligence
THIS JUST IN: Special issue of AI Magazine celebrates National AI Institutes
IFML: AI systems that will transform our world